- NumPy
- Scatter Plots
- Scientific Visualization
- Data Manipulation
- Data Presentation
- Python Programming
- Statistical Visualization
- Pandas (Python Package)
- Graphing
- Interactive Data Visualization
- Visualization (Computer Graphics)
- Matplotlib
Applied Plotting, Charting & Data Representation in Python
Completed by David Jiménez Pérez
April 26, 2020
24 hours (approximately)
David Jiménez Pérez's account is verified. Coursera certifies their successful completion of Applied Plotting, Charting & Data Representation in Python
What you will learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Skills you will gain
